Here are MATLAB implementations of and streaming(online) versions of few algorithms.

CMP5130 - Machine Learning Lesson Assignments / 1- Linear Regression - Univariate and Multivariate & Regularization Kfold Cross Validation 2- Linear Discriminant Analysis Quadratic Discriminant Analysis 3- Decision Tree Classification

Linear Discriminant Analysis mini project - a blend of IISC Bangalore and oracle blog exercises

Predictions on the breast cancer data set after feature reduction

Insights and Analysis - Using Various Deep Learning Architectures on Image Classification Datasets

Practical Implementation of Linear Discriminant Analysis to identify faces

The purpose of this study is based on the available data, it was predicted after analyzes whether class is Seker, Barbunya, Bombay, Cali, Dermosan, Horoz or Sira.

This project is to classify the Customers who prefers three types of wine and by using Linear Discriminant Analysis(LDA) after reducing the dimensions we can able to classify the Customers into 3 segments based on their preference.

Machine Learning Library for Classification Tasks

Binary classification to predict donor vs. non-donor & regression to prediction donation amount. Logistic regression, QDA, LDA, Random Forests, SVMs, Bagging, Boosting, Ridge Regression

Prediction of Coronary Heart Disease(CHD) using South African Heart Disease Data

Convolutional AutoEncoders (MNIST) and their generative capabilities (kind of amazing)

Iris Data : Classification / Pattern Recognition, Predict the Class of Flower based on Available Attributes.

Supervised learning and unsupervised in R, with a focus on regression and classification methods.

This demo shows Logistic regression and Linear Discriminant Analysis implementation. Example tries to predict whether an individual will take holiday package or not

A workflow to understand the changes in expression levels of epithelial cells in smokers.

Participating in Hacktoberfest 2022. Code performing dimensionality reduction on datasets accepted.

Credit Card Fraud Detection using various machine learning algorithms.

Estudio que lleva a cabo una comparación exhaustiva de clasificadores supervisados utilizando un conjunto de datos que se centra en texturas